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Comparison of Approaches for Aggregating Quality Measures in Population‐based Payment Models
Author(s) -
McDowell Alex,
Nguyen Christina A.,
Chernew Michael E.,
Tran Kevin N.,
McWilliams J. Michael,
Landon Bruce E.,
Landrum Mary Beth
Publication year - 2018
Publication title -
health services research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.706
H-Index - 121
eISSN - 1475-6773
pISSN - 0017-9124
DOI - 10.1111/1475-6773.13031
Subject(s) - quality (philosophy) , payment , computer science , population , econometrics , data mining , medicine , mathematics , environmental health , world wide web , philosophy , epistemology
Objective To assess the impact of alternative methods of aggregating individual quality measures on Accountable Care Organization ( ACO ) overall scores. Data Source 2014 quality scores for Medicare ACO s. Study Design We compare ACO overall scores derived using CMS ’ aggregation approach to those derived using alternative approaches to grouping and weighting measures. Principal Findings Alternative grouping and weighting methods based on statistical criteria produced overall quality scores similar to those produced using CMS ’ approach ( κ  = 0.80 to 0.95). Scores derived from giving specific domains greater weight were less similar ( κ  = 0.51 to 0.93). Conclusions How measures are grouped into domains and how these domains are weighted to generate overall scores can have important implications for ACO 's shared savings payments.

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